Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Magee, Christopher L."'
Publikováno v:
IEEE Transactions on Engineering Management. Published Online. 2022
In large technology companies, the requirements for managing and organizing technical documents created by engineers and managers have increased dramatically in recent years, which has led to a higher demand for more scalable, accurate, and automated
Externí odkaz:
http://arxiv.org/abs/2106.14269
Publikováno v:
Technological Improvement Rate Predictions for All Technologies: Use of Patent Data and an Extended Domain Description. Research Policy 50 (9): 104294. 2021
In this work, we attempt to provide a comprehensive granular account of the pace of technological change. More specifically, we survey estimated yearly performance improvement rates for nearly all definable technologies for the first time. We do this
Externí odkaz:
http://arxiv.org/abs/2004.13919
Publikováno v:
ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
The patent database is often used in searches of inspirational stimuli for innovative design opportunities because of its large size, extensive variety and rich design information in patent documents. However, most patent mining research only focuses
Externí odkaz:
http://arxiv.org/abs/2003.08741
Autor:
Woo, JongRoul, Magee, Christopher L.
Battery electric vehicles (BEVs) are now clearly a promising candidate in addressing the environmental problems associated with conventional internal combustion engine vehicles (ICEVs). However, BEVs, unlike ICEVs, are still not widely accepted in th
Externí odkaz:
http://arxiv.org/abs/1806.06947
This paper introduces a method for linking technological improvement rates (i.e. Moore's Law) and technology adoption curves (i.e. S-Curves). There has been considerable research surrounding Moore's Law and the generalized versions applied to the tim
Externí odkaz:
http://arxiv.org/abs/1805.06339
Publikováno v:
In Journal of Energy Storage 25 November 2022 55 Part C
Publikováno v:
In Technological Forecasting & Social Change November 2022 184
Publikováno v:
In Composites Part B 1 June 2022 238
Autor:
Kim, Jieun, Magee, Christopher L.
The purpose of this study is to investigate the structure and evolution of knowledge spillovers across technological domains. Specifically, dynamic patterns of knowledge flow among 29 technological domains, measured by patent citations for eight dist
Externí odkaz:
http://arxiv.org/abs/1706.07140
In this research we study productivity trends of hybrid corn - an important subdomain of food production. We estimate the yearly rate of yield improvement of hybrid corn (measured as bushel per acre) by using both information on yields contained in U
Externí odkaz:
http://arxiv.org/abs/1706.05911